Search ga_ls7e_ard_3 across 2016

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2016-04-08 09:37:02	ga_ls7e_ard_3-0-0_093074_2016-04-08_final
2016-04-08 09:37:26	ga_ls7e_ard_3-0-0_093075_2016-04-08_final
2016-04-08 09:37:50	ga_ls7e_ard_3-0-0_093076_2016-04-08_final
2016-04-08 09:38:14	ga_ls7e_ard_3-0-0_093077_2016-04-08_final
2016-04-08 09:38:38	ga_ls7e_ard_3-0-0_093078_2016-04-08_final
2016-04-08 09:39:02	ga_ls7e_ard_3-0-0_093079_2016-04-08_final
2016-04-08 09:39:26	ga_ls7e_ard_3-0-0_093080_2016-04-08_final
2016-04-08 09:39:50	ga_ls7e_ard_3-0-0_093081_2016-04-08_final
2016-04-08 09:40:14	ga_ls7e_ard_3-0-0_093082_2016-04-08_final
2016-04-08 09:41:02	ga_ls7e_ard_3-0-0_093084_2016-04-08_final
2016-04-08 09:41:26	ga_ls7e_ard_3-0-0_093085_2016-04-08_final
2016-04-08 09:41:50	ga_ls7e_ard_3-0-0_093086_2016-04-08_final
2016-04-08 09:42:37	ga_ls7e_ard_3-0-0_093088_2016-04-08_final
2016-04-08 11:14:20	ga_ls7e_ard_3-0-0_109070_2016-04-08_final
2016-04-08 11:14:43	ga_ls7e_ard_3-0-0_109071_2016-04-08_final
2016-04-08 11:15:07	ga_ls7e_ard_3-0-0_109072_2016-04-08_final
2016-04-08 11:15:31	ga_ls7e_ard_3-0-0_109073_2016-04-08_final
2016-04-08 11:15:55	ga_ls7e_ard_3-0-0_109074_2016-04-08_final
2016-04-08 11:16:19	ga_ls7e_ard_3-0-0_109075_2016-04-08_final
2016-04-08 11:16:43	ga_ls7e_ard_3-0-0_109076_2016-04-08_final
2016-04-08 11:17:07	ga_ls7e_ard_3-0-0_109077_2016-04-08_final
2016-04-08 11:18:43	ga_ls7e_ard_3-1-0_109081_2016-04-08_final
2016-04-08 11:19:07	ga_ls7e_ard_3-0-0_109082_2016-04-08_final
2016-04-08 11:19:31	ga_ls7e_ard_3-0-0_109083_2016-04-08_final
2016-04-08 11:19:55	ga_ls7e_ard_3-0-0_109084_2016-04-08_final
2016-04-09 10:19:07	ga_ls7e_ard_3-0-0_100071_2016-04-09_final
2016-04-09 10:19:31	ga_ls7e_ard_3-0-0_100072_2016-04-09_final
2016-04-09 10:19:55	ga_ls7e_ard_3-0-0_100073_2016-04-09_final
2016-04-09 10:20:19	ga_ls7e_ard_3-0-0_100074_2016-04-09_final
2016-04-09 10:20:42	ga_ls7e_ard_3-0-0_100075_2016-04-09_final
2016-04-09 10:21:06	ga_ls7e_ard_3-0-0_100076_2016-04-09_final
2016-04-09 10:21:30	ga_ls7e_ard_3-0-0_100077_2016-04-09_final
2016-04-09 10:21:54	ga_ls7e_ard_3-0-0_100078_2016-04-09_final
2016-04-09 10:22:18	ga_ls7e_ard_3-0-0_100079_2016-04-09_final
2016-04-09 10:22:42	ga_ls7e_ard_3-0-0_100080_2016-04-09_final
2016-04-09 10:23:06	ga_ls7e_ard_3-0-0_100081_2016-04-09_final
2016-04-09 10:23:30	ga_ls7e_ard_3-0-0_100082_2016-04-09_final
2016-04-09 10:23:54	ga_ls7e_ard_3-0-0_100083_2016-04-09_final
2016-04-09 10:24:18	ga_ls7e_ard_3-0-0_100084_2016-04-09_final
2016-04-10 09:25:30	ga_ls7e_ard_3-0-0_091076_2016-04-09_final
2016-04-10 09:25:54	ga_ls7e_ard_3-0-0_091077_2016-04-09_final
2016-04-10 09:26:18	ga_ls7e_ard_3-0-0_091078_2016-04-09_final
2016-04-10 09:26:42	ga_ls7e_ard_3-0-0_091079_2016-04-09_final
2016-04-10 09:27:05	ga_ls7e_ard_3-0-0_091080_2016-04-09_final
2016-04-10 09:27:29	ga_ls7e_ard_3-0-0_091081_2016-04-09_final
2016-04-10 09:27:53	ga_ls7e_ard_3-0-0_091082_2016-04-09_final
2016-04-10 09:28:17	ga_ls7e_ard_3-0-0_091083_2016-04-09_final
2016-04-10 09:28:41	ga_ls7e_ard_3-0-0_091084_2016-04-09_final
2016-04-10 09:29:05	ga_ls7e_ard_3-0-0_091085_2016-04-09_final
2016-04-10 09:29:29	ga_ls7e_ard_3-1-0_091086_2016-04-09_final
2016-04-10 09:30:17	ga_ls7e_ard_3-0-0_091088_2016-04-10_final
2016-04-10 09:31:05	ga_ls7e_ard_3-0-0_091090_2016-04-10_final
2016-04-10 11:01:59	ga_ls7e_ard_3-0-0_107070_2016-04-10_final
2016-04-10 11:02:23	ga_ls7e_ard_3-0-0_107071_2016-04-10_final
2016-04-10 11:02:47	ga_ls7e_ard_3-0-0_107072_2016-04-10_final
2016-04-10 11:03:11	ga_ls7e_ard_3-0-0_107073_2016-04-10_final
2016-04-10 11:03:35	ga_ls7e_ard_3-0-0_107074_2016-04-10_final
2016-04-10 11:03:59	ga_ls7e_ard_3-0-0_107075_2016-04-10_final
2016-04-10 11:04:23	ga_ls7e_ard_3-0-0_107076_2016-04-10_final
2016-04-10 11:04:47	ga_ls7e_ard_3-0-0_107077_2016-04-10_final
2016-04-10 11:05:11	ga_ls7e_ard_3-0-0_107078_2016-04-10_final
2016-04-10 11:05:35	ga_ls7e_ard_3-0-0_107079_2016-04-10_final
2016-04-10 11:05:59	ga_ls7e_ard_3-0-0_107080_2016-04-10_final
2016-04-10 11:06:22	ga_ls7e_ard_3-0-0_107081_2016-04-10_final
2016-04-10 11:06:46	ga_ls7e_ard_3-0-0_107082_2016-04-10_final
2016-04-10 11:07:10	ga_ls7e_ard_3-0-0_107083_2016-04-10_final
2016-04-10 11:07:34	ga_ls7e_ard_3-0-0_107084_2016-04-10_final
2016-04-11 10:05:11	ga_ls7e_ard_3-0-0_098067_2016-04-11_final
2016-04-11 10:05:35	ga_ls7e_ard_3-0-0_098068_2016-04-11_final
2016-04-11 10:05:58	ga_ls7e_ard_3-0-0_098069_2016-04-11_final
2016-04-11 10:06:22	ga_ls7e_ard_3-0-0_098070_2016-04-11_final
2016-04-11 10:06:46	ga_ls7e_ard_3-0-0_098071_2016-04-11_final
2016-04-11 10:07:10	ga_ls7e_ard_3-0-0_098072_2016-04-11_final
2016-04-11 10:07:34	ga_ls7e_ard_3-0-0_098073_2016-04-11_final
2016-04-11 10:07:58	ga_ls7e_ard_3-0-0_098074_2016-04-11_final
2016-04-11 10:08:22	ga_ls7e_ard_3-0-0_098075_2016-04-11_final
2016-04-11 10:08:46	ga_ls7e_ard_3-0-0_098076_2016-04-11_final
2016-04-11 10:09:10	ga_ls7e_ard_3-0-0_098077_2016-04-11_final
2016-04-11 10:09:34	ga_ls7e_ard_3-0-0_098078_2016-04-11_final
2016-04-11 10:09:58	ga_ls7e_ard_3-0-0_098079_2016-04-11_final
2016-04-11 10:10:22	ga_ls7e_ard_3-0-0_098080_2016-04-11_final
2016-04-11 10:10:46	ga_ls7e_ard_3-0-0_098081_2016-04-11_final
2016-04-11 10:11:10	ga_ls7e_ard_3-0-0_098082_2016-04-11_final
2016-04-11 10:11:34	ga_ls7e_ard_3-0-0_098083_2016-04-11_final
2016-04-11 10:11:58	ga_ls7e_ard_3-0-0_098084_2016-04-11_final
2016-04-11 10:12:22	ga_ls7e_ard_3-0-0_098085_2016-04-11_final
2016-04-11 11:44:04	ga_ls7e_ard_3-0-0_114067_2016-04-11_final
2016-04-12 09:13:57	ga_ls7e_ard_3-0-0_089078_2016-04-11_final
2016-04-12 09:14:45	ga_ls7e_ard_3-0-0_089080_2016-04-11_final
2016-04-12 09:15:09	ga_ls7e_ard_3-1-0_089081_2016-04-11_final
2016-04-12 09:15:33	ga_ls7e_ard_3-0-0_089082_2016-04-11_final
2016-04-12 09:15:57	ga_ls7e_ard_3-0-0_089083_2016-04-11_final
2016-08-18 09:13:57	ga_ls7e_ard_3-0-0_089077_2016-08-17_final
2016-08-18 09:14:20	ga_ls7e_ard_3-0-0_089078_2016-08-17_final
2016-08-18 09:14:44	ga_ls7e_ard_3-0-0_089079_2016-08-17_final
2016-08-18 09:15:08	ga_ls7e_ard_3-0-0_089080_2016-08-17_final
2016-08-18 09:15:32	ga_ls7e_ard_3-1-0_089081_2016-08-17_final
2016-08-18 09:15:56	ga_ls7e_ard_3-0-0_089082_2016-08-17_final
2016-08-18 09:16:20	ga_ls7e_ard_3-0-0_089083_2016-08-17_final
2016-08-18 09:16:44	ga_ls7e_ard_3-0-0_089084_2016-08-17_final

Return to ga_ls7e_ard_3 across 2016 overview

ga_ls7e_ard_3: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

2016

All months